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RNeuMark: A Riemannian EEG Analysis Framework for Neuromarketing
Neuromarketing exploits neuroimaging techniques so as to reinforce the predictive power of
conventional marketing tools, like questionnaires and focus groups …
conventional marketing tools, like questionnaires and focus groups …
A data augmentation scheme for geometric deep learning in personalized brain–computer interfaces
Electroencephalography signals inherently deviate from the notion of regular spatial
sampling, as they reflect the coordinated action from multiple distributed overlap** cortical …
sampling, as they reflect the coordinated action from multiple distributed overlap** cortical …
Revisiting Riemannian geometry-based EEG decoding through approximate joint diagonalization
Objective. The wider adoption of Riemannian geometry in electroencephalography (EEG)
processing is hindered by two factors:(a) it involves the manipulation of complex …
processing is hindered by two factors:(a) it involves the manipulation of complex …
[HTML][HTML] ℛSCZ: A Riemannian schizophrenia diagnosis framework based on the multiplexity of EEG-based dynamic functional connectivity patterns
SI Dimitriadis - Computers in Biology and Medicine, 2024 - Elsevier
Abnormal electrophysiological (EEG) activity has been largely reported in schizophrenia
(SCZ). In the last decade, research has focused to the automatic diagnosis of SCZ via the …
(SCZ). In the last decade, research has focused to the automatic diagnosis of SCZ via the …
[PDF][PDF] A Data Augmentation Scheme for Geometric Deep Learning in Personalized Brain–Computer Interfaces
E CHATZILARI, S NIKOLOPOULOS - researchgate.net
Electroencephalography signals inherently deviate from the notion of regular spatial
sampling, as they reflect the coordinated action from multiple distributed overlap** cortical …
sampling, as they reflect the coordinated action from multiple distributed overlap** cortical …